An Air Conditioning Control Method Based On Non-measurement Thermal Comfort Standard Correction for Demand Response

Xiaodong Chen, Fei Wang, Zengqiang Mi, Kangping Li
{"title":"An Air Conditioning Control Method Based On Non-measurement Thermal Comfort Standard Correction for Demand Response","authors":"Xiaodong Chen, Fei Wang, Zengqiang Mi, Kangping Li","doi":"10.1109/ICPS54075.2022.9773904","DOIUrl":null,"url":null,"abstract":"The consumption of air conditioners accounts for nearly even more than 50% of all the loads of a building, but the air conditioner setting can be optimized within the thermal comfort range to reduce the demand. This paper proposes a customized air conditioner control method for every single family from the perspective of a large number of residential users with different requirements. It can meet the thermal preference and develop an appropriate control air conditioners strategy for each user through the power and environmental data which will not affect their cost and privacy. Combined with this method, a proportional control strategy is presented to optimize the energy consumption, which can also solve the inaccurate human parameters problem caused by difficult acquisition. Finally, case studies demonstrate that the proposed method is more suitable for residential users, which can fully tap the response potential of users with high heat resistance and avoid the reduction and fluctuations of response capacity by the exit of users with low heat resistance due to discomfort.","PeriodicalId":428784,"journal":{"name":"2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPS54075.2022.9773904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The consumption of air conditioners accounts for nearly even more than 50% of all the loads of a building, but the air conditioner setting can be optimized within the thermal comfort range to reduce the demand. This paper proposes a customized air conditioner control method for every single family from the perspective of a large number of residential users with different requirements. It can meet the thermal preference and develop an appropriate control air conditioners strategy for each user through the power and environmental data which will not affect their cost and privacy. Combined with this method, a proportional control strategy is presented to optimize the energy consumption, which can also solve the inaccurate human parameters problem caused by difficult acquisition. Finally, case studies demonstrate that the proposed method is more suitable for residential users, which can fully tap the response potential of users with high heat resistance and avoid the reduction and fluctuations of response capacity by the exit of users with low heat resistance due to discomfort.
基于需求响应的非测量热舒适标准校正的空调控制方法
空调的消耗占建筑物全部负荷的近50%甚至以上,但空调设置可以在热舒适范围内进行优化,以减少需求。本文从大量不同需求的住宅用户出发,提出了一种针对单个家庭的定制化空调控制方法。在不影响用户成本和隐私的前提下,通过电力和环境数据,满足用户的热偏好,为每个用户制定合适的控制空调策略。结合该方法,提出了一种优化能量消耗的比例控制策略,解决了人体参数获取困难造成的不准确问题。最后,案例研究表明,本文提出的方法更适合于住宅用户,可以充分挖掘高热阻用户的响应潜力,避免低热阻用户因不适退出导致响应能力的降低和波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信